Satellite Technology: An Improved Means for Monitoring Forest Insect Defoliation

Authors: Dottavio, C. Lisette; Williams, Darrel L.

Source: Journal of Forestry, Volume 81, Number 1, 1 January 1983 , pp. 30-34(5)

Publisher: Society of American Foresters

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Abstract:

The Goddard Space Flight Center of the National Aeronautics and Space Administration and the Pennsylvania Bureau of Forestry, Division of Forest Pest Management, have demonstrated the operational utility of satellite data for large-scale assessments of defoliation by the gypsy moth (Lymantria dispar). Studies showed that satellite data can be used to delineate heavy defoliation accurately. Somewhat lower accuracies were documented for moderate defoliation and nondefoliated forests. These positive results led to the development of a procedure to facilitate the analysis of satellite data over large geographic areas within clearly defined political boundaries. The system is composed of a LANDSAT-derived data base for Pennsylvania and a series of computer programs for image analysis.

Document Type: Journal Article

Affiliations: Environmental Physical Scientist and Land Resources Group Leader Within the Earth Resources Branch

Publication date: January 1, 1983

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
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